基础设施管理器:用于计算连续体的基于tosca的协调器

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Miguel Caballer, Germán Moltó, Amanda Calatrava, Ignacio Blanquer
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引用次数: 0

摘要

从边缘到云的连续体涉及异构计算资源,包括低功耗物理设备、云管理平台中的虚拟机(vm)和基于FaaS(功能即服务)模型的无服务器计算服务。这需要新颖的策略来描述和有效地部署跨计算连续体执行的复杂应用程序。为此,本文介绍了Infrastructure Manager (IM)的发展,这是一个基于tosca的开源编排器,用于从各种云平台提供和配置虚拟化计算资源。通过使用其他类型补充TOSCA, IM还可以利用公共云服务(如AWS Lambda)和本地无服务器平台(如OSCAR),从FaaS平台跨计算连续体进行供应。这允许跨多个计算平台和体系结构的事件驱动数据处理应用程序。本文描述了基础设施管理器的演变,以适应TOSCA中跨计算连续体的复杂应用程序的定义,以及它们使用基础设施即代码(IaC)方法的自动供应和配置。通过一个真实的用例来评估其有效性,该用例涉及一个机器学习分类器应用程序,用于协助风湿性心脏病(RHD)的早期诊断。结果表明,新的发展使IM能够在计算连续体(从vm到FaaS服务)上有效地部署TOSCA中描述的完整应用程序架构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Infrastructure Manager: A TOSCA-Based Orchestrator for the Computing Continuum
The edge-to-cloud continuum involves heterogeneous computing resources, including low-power physical devices, Virtual Machines (VMs) in cloud management platforms and serverless computing services based on the FaaS (Functions as a Service) model. This requires novel strategies to describe and efficiently deploy complex applications that execute across the computing continuum. To this end, this paper introduces the developments in the Infrastructure Manager (IM), an open-source TOSCA-based orchestrator to provision and configure virtualized computing resources from a wide range of cloud platforms. By supplementing TOSCA with additional types, the IM can also provision from FaaS platforms across the computing continuum by leveraging public cloud services such as AWS Lambda and on-premises serverless platforms, such as OSCAR. This allows event-driven data-processing applications across multiple computing platforms and architectures. The evolution of the Infrastructure Manager is described to accommodate the definition in TOSCA of complex applications that span across the computing continuum and their automated provisioning and configuration using Infrastructure as Code (IaC) approaches. Its effectiveness is assessed through a real use case involving a machine-learning classifier application for assisting in the early diagnosis of Rheumatic Heart Disease (RHD). The results show that the new developments enable the IM to efficiently deploy complete application architectures described in TOSCA across the computing continuum, from VMs to FaaS services.
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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
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